This list of books are ONLY the books that have been ranked on the lists that are aggregated on this site. This is not a comprehensive list of all books by this author.

1. 1. The Golem

   What You Should Know about Science

   

   An engaging exploration of how scientific knowledge is actually produced, arguing that research is a human, fallible, and social endeavor rather than a purely logical march to truth. Using case studies of famous experiments and controversies—including disputed claims, failed replications, and the role of tacit skills—it shows how evidence is interpreted within communities and how consensus forms through negotiation and closure. The portrait that emerges demystifies science as powerful yet imperfect, urging readers to approach scientific claims with both respect and critical awareness.

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2. 2. Changing Order

   Replication and Induction in Scientific Practice

   

   A study of how scientific facts are made in practice, arguing that replication hinges on tacit knowledge, local skills, and interpretive flexibility rather than fixed rules. Using disputes over controversial experiments, it introduces the experimenters' regress to show the circularity between judging correct results and properly built apparatus, and explains how consensus is achieved through negotiation, credibility, and community norms. It contends that scientific order is constructed through social processes without reducing knowledge to mere arbitrariness.

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3. 3. Tacit And Explicit Knowledge

   

   A concise exploration of the boundary between what can be codified and what must be learned through practice and socialization, offering a taxonomy of tacit knowledge into relational, somatic, and collective forms. It explains how explicit knowledge travels as strings and tools, while real-world competence depends on enculturation, bodily skill, and shared social practices. Through examples from science, technology, and everyday expertise, it shows why instructions and algorithms cannot fully capture skilled performance and examines implications for replication, machine intelligence, and understanding.

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